The following is a summary of “Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome ...

A research group has developed an improved workflow for constructing machine learning (ML) models in oligonucleotide ...

An effective HIV-1 vaccine must therefore elicit antibodies that can neutralize many variants of the virus. While broadly neutralizing antibodies (bnAbs) have been isolated from HIV-1 infected ...

These inferences are necessarily uncertain. Here, we illustrate how the Hierarchical Gaussian Filter (HGF) offers a principled and generic way to deal with the several forms that uncertainty in ...

Abstract: Recent work on dictionary learning with set-atoms has shown benefits in anomaly detection. Instead of viewing an atom as a single vector, these methods allow building sparse representations ...

Our approach tackles computational misalignment in Gaussian Splatting SLAM (GS-SLAM) through an adaptive strategy that enhances optimization iterations, addresses long-tail optimization, and refines ...

@inproceedings{xie2025gaussiancity, title = {Generative Gaussian Splatting for Unbounded 3{D} City Generation}, author = {Xie, Haozhe and Chen, Zhaoxi and Hong, Fangzhou and Liu, Ziwei}, booktitle = ...

This is the official repository for our ECCV 2024 paper TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting. Tested on Ubuntu 18.04 ...